Speech Denoising Using Different Types of Filters

Speech Recognition is a broader solution which refers to a technology that can recognize a speech without being targeted at single speaker such call system can recognize arbitrary voice. The fundamental purpose of speech is communication, i.e., the transmission of messages. The problem in speech recognition is the speech pattern variability. The most challenging sources of variations in speech are speaker characteristics including accent, coarticulation and background noise. The filter bank in the front-end of a speech recognition system mimics the function of the basilar membrane. It is believed that closer the band subdivision to human perception better is the recognition results. Filter constructed from estimation of clean speech and noise for speech enhancement in speech recognition systems. In my work, I am using a filter on the frequency spectrum of an input voice, firstly that will record the voice and after that the same will played on simulation and it will give the frequency spectrum. Finally, this spectrum will be filtered to remove noise.